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[journal article]

dc.contributor.authorPfeffer, Fabian T.
dc.contributor.authorGriffin, Jamie
dc.date.accessioned2017-02-01T10:16:51Z
dc.date.available2017-02-01T10:16:51Z
dc.date.issued2017
dc.identifier.issn2190-4936de
dc.identifier.urihttp://www.ssoar.info/ssoar/handle/document/50253
dc.description.abstract"Measuring fluctuation in families' economic conditions is the raison d'être of household panel studies. Accordingly, a particularly challenging critique is that extreme fluctuation in measured economic characteristics might indicate compounding measurement error rather than actual changes in families' economic wellbeing. In this article, we address this claim by moving beyond the assumption that particularly large fluctuation in economic conditions might be too large to be realistic. Instead, we examine predictors of large fluctuation, capturing sources related to actual socio-economic changes as well as potential sources of measurement error. Using the Panel Study of Income Dynamics, we study between-wave changes in a dimension of economic wellbeing that is especially hard to measure, namely, net worth as an indicator of total family wealth. Our results demonstrate that even very large between-wave changes in net worth can be attributed to actual socio-economic and demographic processes. We do, however, also identify a potential source of measurement error that contributes to large wealth fluctuation, namely, the treatment of incomplete information, presenting a pervasive challenge for any longitudinal survey that includes questions on economic assets. Our results point to ways for improving wealth variables both in the data collection process (e.g., by measuring active savings) and in data processing (e.g., by improving imputation algorithms)." (author's abstract)en
dc.languageen
dc.subject.ddcSozialwissenschaften, Soziologiede
dc.subject.ddcSocial sciences, sociology, anthropologyen
dc.subject.otheractive savings; measurement error; imputation
dc.titleDeterminants of wealth fluctuation: changes in hard-to-measure economic variables in a panel studyde
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.source.journalMethods, data, analyses : a journal for quantitative methods and survey methodology (mda)
dc.source.volume11
dc.publisher.countryDEU
dc.source.issue1
dc.subject.classozErhebungstechniken und Analysetechniken der Sozialwissenschaftende
dc.subject.classozMethods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methodsen
dc.subject.thesozDatengewinnungde
dc.subject.thesozprivate householden
dc.subject.thesozWohlstandde
dc.subject.thesozprosperityen
dc.subject.thesozbehavioren
dc.subject.thesozsocioeconomic positionen
dc.subject.thesozincomeen
dc.subject.thesozpanelen
dc.subject.thesozdata preparationen
dc.subject.thesozDatenqualitätde
dc.subject.thesozmeasurementen
dc.subject.thesozVermögende
dc.subject.thesozSparende
dc.subject.thesozEinkommende
dc.subject.thesozPanelde
dc.subject.thesozdata qualityen
dc.subject.thesozsozioökonomische Lagede
dc.subject.thesozsavingsen
dc.subject.thesozassetsen
dc.subject.thesozdata captureen
dc.subject.thesozMessungde
dc.subject.thesozPrivathaushaltde
dc.subject.thesozDatenaufbereitungde
dc.subject.thesozVerhaltende
dc.rights.licenceCreative Commons - Namensnennungde
dc.rights.licenceCreative Commons - Attributionen
ssoar.contributor.institutionGESIS
internal.statusformal und inhaltlich fertig erschlossen
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dc.type.stockarticle
dc.type.documentjournal articleen
dc.type.documentZeitschriftenartikelde
dc.source.pageinfo87-108
internal.identifier.classoz10105
internal.identifier.journal614
internal.identifier.document32
internal.identifier.ddc300
dc.identifier.doihttps://doi.org/10.12758/mda.2016.015
dc.description.pubstatusPublished Versionen
dc.description.pubstatusVeröffentlichungsversionde
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